Anima with 1M Context

Anima with 1M Context

Deploying this model locally is quickest when done via a simple curl command.

Make sure to follow the instructions below.

An automated background process downloads all required large-scale files.

The setup file includes a feature that instantly optimizes all configurations.

🛡️ Checksum: 64b4476acdc2177ed2de9231fe11107d — ⏰ Updated on: 2026-06-26



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

Anima is a next‑generation AI model designed to deliver ultra‑low latency inference across a wide range of applications. Built on a scalable neural architecture, it combines deep contextual understanding with real‑time processing capabilities. The model excels in multimodal tasks, seamlessly handling text, images, and audio with a unified representation space. Its training pipeline leverages massive curated datasets and advanced optimization techniques to achieve state‑of‑the‑art performance while maintaining energy efficiency. Anima’s modular design enables developers to fine‑tune and deploy the system on diverse hardware platforms, from edge devices to cloud infrastructures.

Technical specifications
Parameter Value
Model size 12 B parameters
Training data 1.5 trillion tokens
Inference latency <5 ms
Supported modalities Text, Image, Audio
  • Installer deploying local internet-free web scraping tools with built-in vision parsing
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  • Installer setting up SillyTavern interface optimized for KoboldCPP 1.90+ backends
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  • Launch Anima on AMD/Nvidia GPU Uncensored Edition

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